Vehicle re-identification method based on semantic information enhancement and feature complementarity guided by keypoints

Huicheng Luo

doi:10.1117/12.2644425

10 November 2022 Vehicle re-identification method based on semantic information enhancement and feature complementarity guided by keypoints

Huicheng Luo

Author Affiliations +

Proceedings Volume 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022); 1230102 (2022) https://doi.org/10.1117/12.2644425
Event: 6th International Conference on Mechatronics and Intelligent Robotics, 2022, Kunming, China

Abstract

Vehicle re-identification aims to retrieve and match vehicles under non-overlapping cameras. Although this technology has made some progress in recent years, the problem of vehicle appearance ambiguity caused by perspective shift still can not be well resolved. To alleviate the above problem, this paper proposes a vehicle re-identification method based on keypoint-guided semantic feature alignment and graph matching strategy to enhance complementary information under the transformer framework. The method first uses the pre-trained vehicle attitude detection model to extract keypoints, and proposes an information mapping strategy. Through the coordinate information of keypoints, the corresponding local feature tokens under the transformer framework are extracted and given semantic content to achieve the same semantics. Feature alignment for attribute tokens. Then, a graph matching network is constructed to realize the transfer of semantic information between similar samples, and the expressive ability of features is further improved through the multivariate interaction of information. The proposed model achieves state-of-the-art performance and superiority compared to similar methods on two large vehicle re-ID datasets.

Citation Download Citation

Huicheng Luo "Vehicle re-identification method based on semantic information enhancement and feature complementarity guided by keypoints", Proc. SPIE 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022), 1230102 (10 November 2022); https://doi.org/10.1117/12.2644425

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KEYWORDS

Feature extraction

Visualization

Transformers

Visual process modeling

Performance modeling

Associative arrays

Information visualization

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